Tom Hanks, Kevin Bacon Data structures. n = number of vertices m = number of edges m u = number of edges leaving u yAdjacency Matrix Uses space O(n2) Can iterate over all edges in time O(n2) Can answer “Is there an edge from u to v?” in O(1) time Better for dense (i.e., lots of edges) graphs yAdjacency List Uses space O(m+n) . For example, the adjacency list for the Apollo 13 network is as follows: Tom Hanks, Bill Paxton. Up to O(v2) edges if fully connected. However, using a sparse matrix representation like with Compressed Row Storage representation, the memory requirement is just in O(number of non-zeros) = O(number of edges), which is the same as using lists. The adjacency matrix, on the other hand, does it in the following matrix format: 01111 10010 10011 11101 10110 It shows that if the 1st node and 2nd node are connected, there is a 1 at the grid[1][2] position, and 0 if the 2 nodes aren't connected, or if they are the same nodes. • The matrix always uses Θ(v2) memory. So what we can do is just store the edges from a given vertex as an array or list. In a weighted graph, the edges Instead of a list of lists, it is a 2D matrix that maps the connections to nodes as seen in figure 4. Each edge in the network is indicated by listing the pair of nodes that are connected. Usually easier to implement and perform lookup than an adjacency list. Adjacency Matrix Definition. The adjacency matrix, also called the connection matrix, is a matrix containing rows and columns which is used to represent a simple labelled graph, with 0 or 1 in the position of (V i , V j) according to the condition whether V i and V j are adjacent or not. So we can save half the space when representing an undirected graph using adjacency matrix. Fig 3: Adjacency Matrix . The Right Representation: List vs. Matrix There are two classic programmatic representations of a graph: adjacency lists and adjacency matrices. • Dense graph: lots of edges. So transpose of the adjacency matrix is the same as the original. An adjacency list, also called an edge list, is one of the most basic and frequently used representations of a network. • Sparse graph: very few edges. If the graph is undirected then when there is an edge between (u,v), there is also an edge between (v,u). For use as a data structure, the main alternative to the adjacency list is the adjacency matrix. Such places include Cormen et al. • The adjacency matrix is a good way to represent a weighted graph. In adjacency matrix representation, memory used to represent graph is O(v 2). or Wikipedia. First of all you've understand that we use mostly adjacency list for simple algorithms, but remember adjacency matrix is also equally (or more) important. n-1} can be represented using two dimensional integer array of size n x n. int adj[20][20] can be used to store a graph with 20 vertices adj[i][j] = 1, indicates presence of edge between two vertices i and j.… Read More » Adjacency Matrix A graph G = (V, E) where v= {0, 1, 2, . 's book, or StackOverFlow : Size of a graph using adjacency list versus adjacency matrix? List? Adjacency Matrix vs. Fig 4. An example of an adjacency matrix. . In the case of the adjacency matrix, we store 1 when there is an edge between two vertices else we store infinity. Adjacency List vs Adjacency Matrix. If you notice, we are storing those infinity values unnecessarily, as they have no use for us. Tom Hanks, Gary Sinise. Adjacency Matrix or Adjacency List? An Adjacency matrix is just another way of representing a graph when using a graph algorithm. 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